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Provide a real world examples from a professional field

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Researchers often model real observations using the normal distribution, but sometimes the real distribution is a bit different from the perfect, normal distribution. List some reasons why researchers might make approximations like this and describe at least one situation when researchers should not use this approximation.

Please provide a real world examples from a professional field(possibly related to IT)

Reference no: EM132523215

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